ATP · Right-handed · 20 charted matches · 2024–2025
Nishesh Basavareddy
Archetype: Blocks returns short · Works the corners
Against an average opponent
Serve and return points won, refitted against every opponent at once so a record built on weak or strong opposition is put on the same scale. Career, all surfaces, with a 90% margin. Raw is the plain share of points won.
Value per 100 shots
Points gained per 100 shots compared with an average tour player in the same position, adjusted for the strength of the opponents faced, with a 90% margin (shots clustered by match). Raw is before the opponent adjustment. Built on 6,817 shots.
Shot expected value
The share of points Nishesh Basavareddy goes on to win after each option in the positions they face most often, shrunk toward tour average when the sample is small. Showing the 8 most-used options; teal marks the best one with at least 30 shots.
Rally, shots 5–8: drive to your backhand side
position worth 46% to the average player · 368 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 51% | 48.3%±5.7 | 47.6% |
| BH through the middle | 17% | 47.9%±9.0 | 43.7% |
| BH down the line | 14% | 45.5%±9.7 | 46.4% |
| BH slice crosscourt | 6% | 45.1%±12.8 | 42.5% |
| BH slice down the line | 4% | 36.5%±13.6 | 37.1% |
| BH slice through the middle | 3% | 40.1%±14.7 | 35.1% |
Rally, shots 5–8: drive to your forehand side
position worth 44% to the average player · 351 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 54% | 49.2%±5.7 | 46.6% |
| FH down the line | 21% | 52.6%±8.5 | 44.7% |
| FH through the middle | 19% | 42.4%±8.7 | 41.5% |
| FH slice through the middle | 4% | 36.9%±13.4 | 24.5% |
Rally, shots 5–8: drive to your middle
position worth 51% to the average player · 313 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| FH crosscourt | 30% | 60.5%±7.5 | 52.7% |
| BH crosscourt | 20% | 56.4%±9.0 | 49.1% |
| FH down the line | 16% | 49.7%±9.8 | 51.5% |
| FH through the middle | 11% | 53.5%±11.1 | 47.0% |
| BH through the middle | 9% | 47.7%±11.7 | 46.8% |
| BH down the line | 6% | 42.7%±13.0 | 48.3% |
| BH crosscourt + approach | 3% | 68.5%±14.0 | 67.7% |
Long rally, 9+: drive to your backhand side
position worth 46% to the average player · 269 shots
| Option | Used | Win % | Tour |
|---|---|---|---|
| BH crosscourt | 45% | 51.1%±6.9 | 48.0% |
| BH through the middle | 14% | 47.1%±10.7 | 43.8% |
| BH down the line | 14% | 45.3%±10.8 | 46.5% |
| BH slice crosscourt | 14% | 44.6%±10.8 | 42.1% |
| BH slice down the line | 6% | 34.7%±13.2 | 35.8% |
| BH slice through the middle | 5% | 33.4%±13.5 | 35.1% |
Serve under pressure
Pressure predictability index +8 How much less varied Nishesh Basavareddy's first-serve direction gets on break points. Positive means easier to read. Based on 84 break-point first serves.
Deuce court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 53% | 68% ▲ | 76% / 73% |
| Body | 10% | 0% ▼ | 69% / 63% |
| T | 37% | 32% | 78% / 75% |
644 normal · 22 break-point 1st serves
Ad court
| 1st serve | Usage | Break pt | Won when in |
|---|---|---|---|
| Wide | 51% | 45% | 76% / 73% |
| Body | 8% | 8% | 60% / 63% |
| T | 41% | 47% | 72% / 72% |
538 normal · 62 break-point 1st serves
Is the serve mix in equilibrium?
Game theory says a well-mixed server wins equally often with every direction they use. If one direction wins more, it's underused and points are being left behind. This is the minimax test Walker and Wooders ran on Wimbledon finals, applied to every charted first serve. Win rates include faults. "Optimal" allows for returners reading a habit. No measurable response (−0.05 ± 0.15 points per 100 serves for every 10 points of habitual usage), measured from ATP servers whose mix drifted between matches. Shifts stay within the range servers' habits actually vary, the only range that response was measured over.
Deuce court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 53% | 68.7%±3.9 n=355 | 66% ▲ |
| Body | 10% | 65.6%±8.0 n=66 | 0% ▼ |
| T | 37% | 65.0%±4.7 n=245 | 34% ▼ |
Consistent with an optimal mix (p = 0.53).
Optimal mix: +0.7 per 100 first serves.
Ad court
| 1st serve | Usage | Points won | Optimal |
|---|---|---|---|
| Wide | 50% | 66.3%±4.3 n=300 | 63% ▲ |
| Body | 8% | 59.8%±9.1 n=48 | 0% ▼ |
| T | 42% | 65.3%±4.7 n=252 | 37% ▼ |
Consistent with an optimal mix (p = 0.38).
Optimal mix: +0.5 per 100 first serves.
Exploitability 0.61 points per 100 first serves What the optimal mix would win over the current one, both courts. More exploitable than 100% of ATP servers. Tested on matches they weren't fitted on, ATP mixes picked this way win 0.33 per 100 first serves on average.
Repeating the previous direction to the same court: −0.4±4.0 points per 100 against switching. Negative means returners read repeats. Tour-wide, repeating costs women about 0.4 points per 100 and costs men nothing, so men's returners don't measurably anticipate direction. (443 repeats, 783 switches.)
Return by serve direction
Return points won against each serve direction, compared with the tour average.
| Serve | Court | Direction | Points | Won | vs tour | |
|---|---|---|---|---|---|---|
| 1st | Ad court | Body | 63 | 39% | +1.8±8.3 | |
| 1st | Ad court | T | 156 | 28% | +0.1±5.4 | |
| 1st | Ad court | Wide | 187 | 26% | −1.3±4.9 | |
| 1st | Deuce court | Body | 80 | 39% | +2.4±7.7 | |
| 1st | Deuce court | T | 154 | 31% | +6.2±5.6 | |
| 1st | Deuce court | Wide | 197 | 28% | +0.6±4.9 | |
| 2nd | Ad court | Body | 96 | 52% | +2.9±7.3 | |
| 2nd | Ad court | T | 48 | 52% | +3.0±9.3 | |
| 2nd | Ad court | Wide | 75 | 49% | +0.7±8.0 | |
| 2nd | Deuce court | Body | 115 | 57% | +8.0±6.8 | |
| 2nd | Deuce court | T | 67 | 58% | +7.9±8.3 | |
| 2nd | Deuce court | Wide | 78 | 50% | +2.3±7.9 |
Signature patterns
Recurring sequences that win more than Nishesh Basavareddy's own baseline, ranked by edge weighted by how often they're used.
Serve → +1
- T serve (ad court) → FH down the line used 2.2% · won 73% · +2.8±10.1 vs own baseline
- T serve (deuce court) → BH crosscourt used 3.1% · won 71% · +0.2±9.6 vs own baseline
- Wide serve (deuce court) → FH through the middle used 2.2% · won 66% · −4.9±10.8 vs own baseline
- T serve (deuce court) → FH crosscourt used 2.8% · won 66% · −4.8±10.2 vs own baseline
- Body serve (deuce court) → FH crosscourt used 2.4% · won 65% · −5.5±10.7 vs own baseline
Return
- vs wide serve (deuce court) → FH crosscourt, mid used 5.3% · won 57% · +11.4±10.4 vs own baseline
- vs body serve (ad court) → BH crosscourt, mid used 3.9% · won 52% · +6.7±11.3 vs own baseline
- vs wide serve (ad court) → BH through the middle, mid used 3.7% · won 51% · +5.8±11.5 vs own baseline
- vs body serve (deuce court) → BH through the middle, mid used 5.6% · won 49% · +3.2±10.3 vs own baseline
- vs wide serve (deuce court) → FH through the middle, deep used 3.6% · won 46% · +0.9±11.6 vs own baseline
Rally, consecutive own shots
- FH crosscourt → FH crosscourt used 6.5% · won 57% · +8.2±7.4 vs own baseline
- FH down the line → FH crosscourt used 2.1% · won 59% · +10.2±10.7 vs own baseline
- FH crosscourt → FH down the line used 7.3% · won 53% · +4.0±7.1 vs own baseline
- FH crosscourt → BH crosscourt used 7.3% · won 53% · +4.0±7.1 vs own baseline
- BH crosscourt → FH down the line used 2.0% · won 57% · +7.7±10.9 vs own baseline
Discovered sequences
Mined from every me → opponent → me run of three shots, with no templates. Ranked by how much more often Nishesh Basavareddy wins the point once the sequence happens, weighted by how often it happens. Think of them as chess openings.
- FH crosscourt → FH crosscourt → FH crosscourt used 2.0% · won 59% · +7.9±8.3 vs own baseline · +13.5 vs tour on the same sequence Disrupted by Alex Michelsen (4/8), Luca Van Assche (3/6)
- BH crosscourt → BH through the middle → FH crosscourt used 1.6% · won 57% · +5.6±8.9 vs own baseline · +6.5 vs tour on the same sequence Disrupted by Gael Monfils (2/7), Liam Draxl (5/8)
- FH crosscourt → FH crosscourt → FH down the line used 1.7% · won 56% · +4.8±8.8 vs own baseline · +11.6 vs tour on the same sequence Disrupted by Martin Borisiouk (2/6), Karue Sell (4/8)
- FH through the middle → FH crosscourt → FH crosscourt used 0.5% · won 60% · +8.7±12.3 vs own baseline · +26.3 vs tour on the same sequence
- FH crosscourt → FH through the middle → BH crosscourt used 1.0% · won 56% · +4.0±10.5 vs own baseline · +8.2 vs tour on the same sequence Disrupted by Novak Djokovic (3/6)
- T serve → FH down the line return, mid → BH crosscourt used 0.4% · won 57% · +5.7±12.9 vs own baseline · +15.7 vs tour on the same sequence
Strengths and vulnerabilities
Value per 100 shots compared with the average player hitting (strengths) or facing (vulnerabilities) the same shot. Only shot types seen at least 120 times.
Hurts opponents most with
| BH to their backhand · serve +1 | +3.4 | 234 |
| BH to their forehand · rally | +3.1 | 203 |
| FH to the middle · rally | +2.8 | 190 |
| BH to their backhand · rally | +2.5 | 491 |
| BH to their backhand · return +1 | +2.3 | 160 |
Most exposed to
| BH to their forehand · rally | −2.4 | 259 |
| FH to their backhand · rally | −1.6 | 381 |
| BH to their backhand · rally | −1.1 | 377 |
| FH to the middle · rally | −1.0 | 247 |
| BH to the middle · rally | −0.9 | 298 |
Best-equipped opponents
Active players whose shot mix lines up best against these weaknesses, by structural compatibility per 100 rally shots: Rafael Nadal +2.19, Miomir Kecmanovic +1.94, Pedro Martinez +1.69, Roberto Bautista Agut +1.67, Casper Ruud +1.67
Favourable matchups
Miomir Kecmanovic +2.65, Fabian Marozsan +2.62, Pedro Martinez +2.57, Alexander Shevchenko +2.50, Roberto Carballes Baena +2.38
Active players who are best at the shot in the top weakness: Juncheng Shang, Pedro Martinez, Learner Tien, Miomir Kecmanovic, Casper Ruud
Tactical fingerprint
Each bar shows how far a style trait is from the ATP average, in standard deviations.
| Wide serves · deuce | 53% | |
| Drop shots / shot | 2.2% | |
| Avg rally length | 4.3 | |
| T serves · ad | 42% | |
| Chipped returns | 17% | |
| Points at net | 12% | |
| Deep returns | 27% | |
| Wide serves · ad | 50% | |
| 1st serve in | 61% | |
| Point-ending shots | 22.7% | |
| BH down the line | 19% | |
| Backhand slice | 16% | |
| Serve & volley | 1% | |
| Forehand share | 49% | |
| FH down the line | 27% | |
| Unforced errors / shot | 7.3% | |
| T serves · deuce | 37% | |
| Through the middle | 19% | |
| Run-around forehands | 4% |
Plays most like
- Richard Gasquet 2002–2025 plan v
- Andy Murray 2005–2024 plan v
- Karue Sell 2024–2025 plan v
- Novak Djokovic 2005–2026 plan v
- Frances Tiafoe 2016–2026 plan v
- Andre Agassi 1988–2006 plan v
- Gregoire Barrere 2016–2024 plan v
- Daniil Medvedev 2017–2026 plan v
Closest from another era
- Andre Agassi 1988–2006
- David Nalbandian 2002–2012
- Yevgeny Kafelnikov 1994–2002
Charted matches
- Nishesh Basavareddy v Justin Engel W NextGen Finals RR · Hard · 19 Dec 2025
- Dino Prizmic v Nishesh Basavareddy W NextGen Finals RR · Hard · 17 Dec 2025
- Novak Djokovic v Nishesh Basavareddy L Australian Open R128 · Hard · 13 Jan 2025
- Gael Monfils v Nishesh Basavareddy L Auckland SF · Hard · 10 Jan 2025
- Alejandro Tabilo v Nishesh Basavareddy W Auckland R16 · Hard · 8 Jan 2025
- Nishesh Basavareddy v Luca Van Assche L NextGen Finals RR · Hard · 20 Dec 2024
- Nishesh Basavareddy v Juncheng Shang W NextGen Finals RR · Hard · 19 Dec 2024
- Alex Michelsen v Nishesh Basavareddy L NextGen Finals RR · Hard · 18 Dec 2024
- Nishesh Basavareddy v Liam Draxl W Puerto Vallarta CH F · Hard · 24 Nov 2024
- Nishesh Basavareddy v Goncalo Oliveira W Puerto Vallarta CH R32 · Hard · 19 Nov 2024
- Nishesh Basavareddy v Ethan Quinn L Champaign CH F · Hard · 17 Nov 2024
- Nishesh Basavareddy v Eliot Spizzirri W Champaign CH SF · Hard · 16 Nov 2024